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Research themes

  • statistical learning: domain adaptation, ranking, concentration inequalities, generalization bounds, metric learning
  • grammatical inference: stochastic rational languages (on strings and trees), weighted automata, learnable grammars
  • multimedia mining: fusion in multimodal learning, semi-supervised learning, multilabel classification
  • signal processing (with the signal and image processing group of LATP): we work on drawing connections between machine learning and signal processing (algorithms, theory, etc)

Ongoing projects

ANR Projects

  • 2016-2019, ANR LIVES: "Cross-view Learning: theory, algorithms and benchmarks"
  • 2015-2018, ANR MAD: "Inpainting of Missing Audio Data"

Short Projects

Terminated Projects

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